A graphical user interface for interactive Markov chain Monte Carlo (MCMC) diagnostics and plots and tables helpful for analyzing a posterior sample. The interface is powered by RStudio's Shiny web application framework and works with the output of MCMC programs written in any programming language (and has extended functionality for Stan models fit using the rstan and rstanarm packages).

Maintainer: Jonah Gabry <jsg2201 at columbia.edu>

Author(s): Jonah Gabry*, Stan Development Team*, Michael Andreae*, Michael Betancourt*, Bob Carpenter*, Yuanjun Gao*, Andrew Gelman*, Ben Goodrich*, Daniel Lee*, Dongying Song*, Rob Trangucci*

Install package and any missing dependencies by running this line in your R console:

install.packages("shinystan")

Depends R (>= 3.1.0), shiny(>=0.12.1)
Imports bayesplot(>=1.1.0), colourpicker, DT(>=0.2), dygraphs(>=1.1.1.2), ggplot2(>=2.1.1), gridExtra, gtools, markdown(>=0.7.4), methods, reshape2, rsconnect(>=0.4.2), rstan(>=2.14.1), stats, shinyjs(>=0.6.0), shinythemes(>=1.0.1), threejs(>=0.2.1), utils, xtable, xts(>=0.9-7)
Suggests coda, knitr(>=1.9), rmarkdown(>=0.8.1), rstanarm(>=2.14.1), testthat
Enhances
Linking to
Reverse
depends
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imports
brms, nauf, rstanarm, walkr
Reverse
suggests
bayesplot, ctsem, rstan, rstantools
Reverse
enhances
Reverse
linking to

Package shinystan
Materials
URL https://github.com/stan-dev/shinystan/ http://mc-stan.org/
Task Views
Version 2.3.0
Published 2017-02-01
License GPL (>= 3)
BugReports https://github.com/stan-dev/shinystan/issues/
SystemRequirements
NeedsCompilation no
Citation
CRAN checks shinystan check results
Package source shinystan_2.3.0.tar.gz